Image Processing, Analysis, and Machine Vision | 4th Edition

Milan Sonka/Vaclav Hlavac/Roger Boyle

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MindTap Engineering, 2 terms (12 months) Instant Access for Sonka/Hlavac/Boyle's Image Processing, Analysis, and Machine Vision

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MindTap Engineering for Sonka/Hlavac/Boyle's Image Processing, Analysis, and Machine Vision, 4th Edition is the digital learning solution that helps instructors engage and transform today's students into critical thinkers. Through paths of dynamic assignments and applications that you can personalize, real-time course analytics, and an accessible reader, MindTap helps you turn cookie cutter into cutting edge, apathy into engagement, and memorizers into higher-level thinkers. Access to this product is valid for 12 months of usage.

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MindTap Engineering, 1 term (6 months) Instant Access for Sonka/Hlavac/Boyle's Image Processing, Analysis, and Machine Vision

ISBN-13: 9781305498686

MindTap Engineering for Sonka/Hlavac/Boyle's Image Processing, Analysis, and Machine Vision, 4th Edition is the digital learning solution that helps instructors engage and transform today's students into critical thinkers. Through paths of dynamic assignments and applications that you can personalize, real-time course analytics, and an accessible reader, MindTap helps you turn cookie cutter into cutting edge, apathy into engagement, and memorizers into higher-level thinkers. Access to this product is valid for 6 months of usage.

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About This Product

The brand new edition of IMAGE PROCESSING, ANALYSIS, AND MACHINE VISION is a robust text providing deep and wide coverage of the full range of topics encountered in the field of image processing and machine vision. As a result, it can serve undergraduates, graduates, researchers, and professionals looking for a readable reference. The book's encyclopedic coverage of topics is wide, and it can be used in more than one course (both image processing and machine vision classes). In addition, while advanced mathematics is not needed to understand basic concepts (making this a good choice for undergraduates), rigorous mathematical coverage is included for more advanced readers. It is also distinguished by its easy-to-understand algorithm descriptions of difficult concepts, and a wealth of carefully selected problems and examples.